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− | [[File:vivosoc3_smartwatch.jpg|400px|thumb|right]]
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− | Every human and animal body generates a large and steady amount of data as consequence of several underlying life-long processes, e.g., respiration, vascular system dynamic, muscle contraction.
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− | By acquiring and processing these vital signals, usually by electrical or optical means, substantial amount of information can be extracted, enabling sense-making being used to take informative decisions. Successful application examples range from commercial fitness-tracker gadgets to medical-grade devices that enables tele-health remote medicine, as well as edge-cutting scientific research on living biological models.
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− | Even though part of the larger Internet-of-Things vision, the point-of-contact electronics that interfaces the biological system with the cloud-based digital world is very critical due to unique challenges such as signal acquisition in the μV range or computationally demanding local processing with just a few mW of power budget.
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− | As a joint effort between the Analog and Mixed Signal and Digital Design Groups we are exploring deep integration of analog precision sensing circuits with the digital processing platform of the [https://www.pulp-platform.org PULP family]; the combined workforce and expertise converge on the VivoSoC project. Over the years, several prototypes have been developed toward higher integration and better energy efficiency. The latest version can be [http://asic.ethz.ch/2018/Vivosoc3.html found in the IIS chip gallery]. A detailed description of both the VivoSoC ASIC itself as well as the surrounding platform alongside application examples is available in the related publications; [1] and [2] for example give a comprehensive overview.
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− | VivoSoC is an ongoing project at our lab and we are looking for motivated students to contribute on the following topics:
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− | <ul><li> Software/firmware development to showcase the existing hardware and system potential in real applications (Digital Signal Processing, Machine Learning Algorithms).</li>
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− | <li> Analog circuit design and layout for low-power high-precision biomedical applications.</li>
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− | <li> Digital design of efficient processing units, accelerators, filters and peripherals/interfaces.</li>
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− | <li> PCB design to enable new applications with tight form factors (from wearable to implantable).</li></ul>
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− | Below you can find some example project proposals; due to the flexibility and complexity of the platform there are many more possibilities. If you have a specific project or idea in mind that you'd like to work on, just contact us!
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− | ==Projects==
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− | ===Available Projects===
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− | <DynamicPageList>
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− | category = Available
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− | category = Biomedical System on Chips
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− | suppresserrors=true
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− | </DynamicPageList>
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− | ==Contact Information==
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− | ===Florian Glaser===
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− | * '''e-mail''': [mailto:glaserf@iis.ee.ethz.ch glaserf@iis.ee.ethz.ch]
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− | * ETZ J71.2
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− | ===Giovanni Rovere===
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− | * '''e-mail''': [mailto:rovere@iis.ee.ethz.ch rovereg@iis.ee.ethz.ch]
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− | * ETZ J64.2
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− | ===References===
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− | The references can be accessed free of charge within the ETHZ network.<br />
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− | [1] [https://ieeexplore.ieee.org/document/8331275/ P. Schönle et al.: A Multi-Sensor and Parallel Processing SoC for Miniaturized Medical Instrumentation]<br />
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− | [2] [https://ieeexplore.ieee.org/document/8049826/ F. Glaser et al.: Towards a Mobile Health Platform with Parallel Processing and Multi-sensor Capabilities]<br />
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